Control Engineering Practice

Aims & Scope

Control Engineering Practice strives to meet the needs of industrial practitioners and industrially related academics and researchers.

It publishes papers which illustrate the direct application of control theory and its supporting tools in all possible areas of automation.

As a result, the journal only contains papers which can be considered to have made significant contributions to the application of advanced control techniques.

It is normally expected that practical results should be included, but where simulation only studies are available, it is necessary to demonstrate that the simulation model is representative of a genuine application.

Strictly theoretical papers will find a more appropriate home in Control Engineering Practice's sister publication, Automatica.

It is also expected that papers are innovative with respect to the state of the art and are sufficiently detailed for a reader to be able to duplicate the main results of the paper (supplementary material, including datasets, tables, code and any relevant interactive material can be made available and downloaded from the website).

The benefits of the presented methods must be made very clear and the new techniques must be compared and contrasted with results obtained using existing methods.

Moreover, a thorough analysis of failures that may happen in the design process and implementation can also be part of the paper.

The scope of Control Engineering Practice matches the activities of IFAC.

Papers demonstrating the contribution of automation and control in improving the performance, quality, productivity, sustainability, resource and energy efficiency, and the manageability of systems and processes for the benefit of mankind and are relevant to industrial practitioners are most welcome.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	4.6

SJR (SCImago Journal Rank)

Year	Value
2024	1.309

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	139

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, Engineering and Mathematics, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• A survey of industrial model predictive control technology

  Citation: 3817

  Authors: S.Joe, Thomas A.

• The future of PID control

  Citation: 1125

  Authors: K.J., T.

• Statistical process control of multivariate processes

  Citation: 992

  Authors: J.F., T.

• Tuning and auto-tuning of fractional order controllers for industry applications

  Citation: 833

  Authors: Concepción A., Blas M., Vicente, YangQuan

• Control methodologies in networked control systems

  Citation: 802

  Authors: Yodyium, Mo-Yuen

• Trends in the application of model-based fault detection and diagnosis of technical processes

  Citation: 732

  Authors: R., P.

• Supervision, fault-detection and fault-diagnosis methods — An introduction

  Citation: 705

  Authors: R.

• Automatic tuning and adaptation for PID controllers - a survey

  Citation: 537

  Authors: K.J., T., C.C., W.K.

• Design of a fractional order PID controller for an AVR using particle swarm optimization

  Citation: 520

  Authors: Majid, Masoud, Nasser, Mostafa

• Evolutionary algorithms in control systems engineering: a survey

  Citation: 441

  Authors: P.J, R.C

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